摘要
研究了变尺度混沌优化算法的变量空间缩小系数、"二次搜索"调节系数对混沌优化结果的影响,并提出了变量空间缩小系数、"二次搜索"调节系数的确定公式。按照所提出的公式,随着"二次搜索"次数的增加、变量搜索空间的减小,变量空间缩小系数、"二次搜索"调节系数的数值可以不断地减小以保证寻优结果的精度。数值算例和应用实例验证了所提改进变尺度混沌优化算法的正确性和有效性。将混沌优化算法应用于微网内微电源的经济优化运行,分析了微电源在不同目标函数下的出力变化情况。
The variable space narrowing coefficient and the ＂secondary search＂ adjustment coefficient of the mutative scale chaotic optimization algorithm are studied,and their determining formulas are proposed.Along with the increase of ＂secondary search＂ number and the decrease of variables search space,the variable space narrowing coefficient and the ＂secondary search＂ adjustment coefficient decrease continuously to ensure the accuracy of optimization result.Numerical simulation and instance validation verify that,the proposed optimization algorithm is correct and effective.This algorithm is applied to the economic operation of micro-sources in microgrid and their outputs under different objective functions are analyzed.
出处
《电力自动化设备》
EI
CSCD
北大核心
2013年第1期70-74,共5页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(50977029)~~
关键词
电力系统
混沌理论
优化
变尺度
微网
优化运行
electric power systems
chaos theory
optimization
mutative scale
microgrid
optimal operation
